Google Cloud Vision API
Google Cloud Vision API
About Google Cloud Vision API
Vision AI, by Google Cloud, is a cloud-based visual search solution designed to help businesses manage processes related to image recognition using custom machine learning models. With pre-trained Remote Procedure Call (RPC) and Representational State Transfer (REST) APIs, users can assign labels in order to classify images into predefined categories.
Key features of Vision AI include optical character recognition (OCR), product search, catalog management, and filtering. Using AutoML Vision, the platform allows teams to upload images, train custom models for enhanced latency, size, and accuracy, and export them to multiple devices as well as the cloud. It uses pre-trained Vision API models to detect objects and facial attributes, identify popular landmarks, comprehend handwritten or printed text, and generate metadata in image catalogs.
Vision AI lets professionals utilize the Document AI tool to process documents and automate business workflows using neural network algorithms, in order to enhance operational efficiency. Using the Safe Search functionality, teams can review images and identify explicit content containing violence, adult content, and more.
Vision AI facilitates visual product searches, which enable enterprises to compare photos with images in existing product catalogs and generate ranked lists of similar items.
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- Industry: Higher Education
- Company size: Self Employed
- Used for Free Trial
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Review Source
Overall rating
- Value for Money
- Ease of Use
- Customer Support
- Likelihood to recommend 10.0 /10
Google Cloud Vision paves the way for amazing future developments in cloud-platform IoT.
Reviewed on 2019/07/18
I was given a free trial demonstration of some of the ostensible development aspirations that might...
I was given a free trial demonstration of some of the ostensible development aspirations that might be achieved through user and administrator dedication to the offerings of Google Cloud Platform's Cloud Vision app service and programming interface.
Pros
I received a particularly surprising treat to demo this software at the scale and magnitude of professional engineering behind the code working through Google Cloud Platform delivery in that I experienced real-time, device-free, visual symbiosis of a technological platform of visual sensory augmentation that one would more commonly expect out of Virtual Reality Glasses or Augmented Reality devices. I saw my surrounding environment through significantly-increased intelligence and orthographic transformation of what was essentially a behind-the-scenes look in to what quantifies intelligent aesthetic design, as well as etiologies of visual intelligence. The prospects for this Google Cloud Platform software product are magnificent to the layperson, and to developers, alike, who aspire to create rich deliverables in user experience.
Cons
The platform is a Google Cloud Platform Project, and as such, it's a newly-burgeoning software platform for development. It's geared towards a technically-advanced user, to be sure.
- Industry: Information Technology & Services
- Company size: 11–50 Employees
- Used Daily for 2+ years
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Review Source
Overall rating
- Value for Money
- Ease of Use
- Customer Support
- Likelihood to recommend 9.0 /10
Ideal for team that is working on building a product around OCR
Reviewed on 2019/06/09
I have worked with multiple OCR engines, including other professional OCR engines available and I...
I have worked with multiple OCR engines, including other professional OCR engines available and I would definitely recommend using cloud vision if you are just starting out.
Pros
1. The accuracy is way higher as compared to other professional OCR engines available in the market for the use case that I am tackling.
2. Response time is decent (though it depends on the sizes of the images uploaded to the service)
3. Easy to configure and setup
4. The pricing scheme is also very good, its pay per use
5. Does not require any image pre processing for most of the OCR use cases, just upload an unprocessed image. Most of the heavy weight lifting for OCR process is done by the service
6. Provides an excellent benchmark if you are planning to build your own OCR engine.
Cons
1. Documentation could be improved
2. The logging from the library could be improved to better understand failure scenarios
3. It would be good have an offline service too, always requires a connection to the internet. (Unlike its counter part mobile vision)
4. Once or twice I have observed that their backend update to the service added some extra OCR characters to the response, which broke the logic I had previously built on. So, there is a need to constantly check the response being returned from the service
5. Some advanced configurations that could be useful are missing or not documented. For example, there is no font training available with the service.
- Industry: Health, Wellness & Fitness
- Company size: Self Employed
- Used Weekly for 1-5 months
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Overall rating
- Ease of Use
- Likelihood to recommend 7.0 /10
Best From Segment
Reviewed on 2020/02/27
Pros
Great interface and several functions. Simple and easy to use.
Cons
It could work offline and improve advanced settings.
- Industry: Financial Services
- Company size: 11–50 Employees
- Used Daily for 2+ years
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Review Source
Overall rating
- Value for Money
- Ease of Use
- Customer Support
- Likelihood to recommend 10.0 /10
Google cloud
Reviewed on 2019/05/23
Overall its a good platform for storing files.
Overall its a good platform for storing files.
Pros
Stores small, medium as well as large files (Even which are difficult to send or store).
Folders can be created as well organised easily.
Eases storage issue.
Makes it easy to access the data from anywhere.
Secure platform.
Cons
Sometimes the formatting in excel sheets gets little messy.
- Industry: Facilities Services
- Company size: 51–200 Employees
- Used Daily for 1+ year
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Review Source
Overall rating
- Value for Money
- Ease of Use
- Customer Support
- Likelihood to recommend 10.0 /10
NextGen!
Reviewed on 2018/12/14
Pros
This tool makes OCR and photo recognition easy.
Cons
Implementation can be a little tricky and a way to "teach" this for your own use-case could be helpful
Google Cloud Vision API FAQs
Below are some frequently asked questions for Google Cloud Vision API.Q. What type of pricing plans does Google Cloud Vision API offer?
Google Cloud Vision API offers the following pricing plans:
- Starting from: US$3.15
- Pricing model: Free Version
- Free Trial: Available
*Free Trial*: New customers get $300 in free credits to spend on Vision API during the first 90 days. *Free Usage per Month*: • Cloud Vision: 1,000 units per month • AutoML Vision: 40 node hours for training and online prediction; 1 node hour for batch classification prediction; 15 node hours for Edge training. Contact Google Cloud for more information on pricing.
Q. Who are the typical users of Google Cloud Vision API?
Google Cloud Vision API has the following typical customers:
Self Employed, 2–10, 11–50, 51–200, 201–500, 501–1,000, 1,001–5,000
Q. What languages does Google Cloud Vision API support?
Google Cloud Vision API supports the following languages:
Chinese, English, French, German, Italian, Japanese, Korean, Portuguese, Spanish
Q. Does Google Cloud Vision API support mobile devices?
Google Cloud Vision API supports the following devices:
Q. What other apps does Google Cloud Vision API integrate with?
We do not have any information about what integrations Google Cloud Vision API has
Q. What level of support does Google Cloud Vision API offer?
Google Cloud Vision API offers the following support options:
Email/Help Desk, FAQs/Forum, Knowledge Base, Phone Support, Chat
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